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Dettaglio Insegnamento
| Anno Accademico |
2021/2022 |
| Corso di Studi |
Dott. - MI (1380) Ingegneria dell'Informazione / Information Technology |
| Anno di Corso |
1 |
| Codice Identificativo |
057380 |
| Denominazione Insegnamento |
DESIGN OF REAL-TIME AND MIXED-CRITICALITY SYSTEMS |
| Tipo Insegnamento |
MONODISCIPLINARE |
| Crediti Formativi Universitari (CFU) |
5.0 |
| Programma sintetico |
MISSION AND GOALS:
The course aims to present the challenges in designing safety-critical systems focusing on timing requirements in hard real-time environments. In particular, the course focuses on the state-of-the-art scheduling strategies to allocate tasks in single- and multi-core platforms, including in mixed-criticality setup. The current scientific trends and the status of industry-grade methodologies are also briefly presented to spur the students to do research in real-time computing. At the end of the course, the students will have acquired a general knowledge on the methodologies to design real-time systems and, thanks to the course project, how to implement them in simple but realistic platforms.
SUBJECT AND PROGRAMME OF THE COURSE:
The course covers the fundamentals of hard real-time computing, from the basic modeling of the workload and system to the scheduling of the activities. After uniforming the students' background, a compendious outline of the latest research (mixed-criticality, energy-aware scheduling, multi-core approaches, etc.) is presented.
The teaching goal is three-fold: (1) to provide the basics of real-time and safety-critical systems, including the timing requirements specification, task/job models, single-core and
multi-core platform models; (2) to present the state-of-the-art scheduling algorithms, including some formal proofs; (3) to give an overview of the current research and industry
trends, including the mixed-criticality problem and its applicability to industry.
Preliminary Syllabus:
1. Introduction to embedded safety-critical systems and their requirements
2. Hard real-time computing, jobs/tasks, and computing platform models
3. Clock-driven scheduling
4. Fixed-Priority and Dynamic-Priority scheduling algorithms
5. Overview of multi-core approaches
6. Mixed-criticality systems
7. Energy-aware real-time scheduling
8. Current research and industry trends, case studies |
| Settori Scientifico Disciplinari (SSD) |
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Codice SSD
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Descrizione SSD
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CFU
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ING-INF/05
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SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
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5.0
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Scaglione
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Docente
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Programma dettagliato
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Da (compreso)
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A (escluso)
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A
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ZZZZ
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Fornaciari William, Guo Zhishan, Reghenzani Federico
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